Finance Data Analyst
Indexed description
Sauce helps restaurants take control of online ordering and delivery without marketplace dependency. Series B, 4,400+ restaurant accounts, high transaction volume across New York, Florida and expanding US metros. We use AI and automation to reduce manual reporting, improve data quality and accelerate decision-making. This role will play a key part in identifying and implementing those opportunities.
About Role
A hybrid Finance and Data role sitting inside the Finance function. You will be the dedicated bridge between Finance and Data - unifying Sauce's financial data stack and enabling faster, more automated decision-making. You own the accuracy, consistency and accessibility of financial data so leadership can make decisions with confidence.
This is not an accounting role. This is not a pure data role. It requires both.
What You'll Do:
Data accuracy and infrastructure
- Maintain and QA all financial data outputs from Preset and Databricks against source systems; flag discrepancies before they reach reporting
- Own the G Suite financial infrastructure - Sheets, Drive, model structure and version control
- Build and maintain recurring reports for revenue by channel and order type, delivery margin and order-level economics
- Maintain and ensure consistency of financial and operational KPI calculations across all reporting systems
- Maintain and develop fully loaded COGS tracking: courier fees, payment processing and infrastructure allocation
- Track budget vs. actual performance across departments and highlight key variances
- Assist in monthly forecasting, scenario analysis and business performance reviews
- Prepare reconciled data and variance analysis for management reporting
- Maintain actuals data to support rolling forecast updates and management reporting
- Our stack: Databricks, Preset, SaasGrid, QuickBooks, Stripe, Google Workspace, AI (LLM)
- 3+ years in FP&A, Strategic Finance,Business Analytics or Finance Analyst in a technology company
- Strong analytical and problem-solving skills with the ability to investigate data discrepancies across multiple systems and identify root causes
- Expert in Google Sheets and/or Excel - financial modeling, multi-sheet models, dynamic formulas
- SQL proficiency - required; Databricks or similar data warehouse experience preferred
- Hands-on experience with a BI tool (Preset, Tableau, Looker, or equivalent)
- Strong understanding of SaaS, marketplace, fintech, or high volume transaction-based business models and unit economics: revenue, COGS, CAC, LTV, margin
- Strong English - written and spoken
- Detail-oriented to the point of being uncomfortable with unreconciled numbers
- Nice to have:
- Python, GitHub
- Experience working with data pipelines, data models, or analytics infrastructure
- Prior experience in a marketplace, SaaS, fintech, or high-transaction-volume tech environment
- Strong & Competitive Compensation Package
- Flexible Work Environment
- 10 Paid Personal/Vacation Days
- 5 Paid Sick Days
- 11 Local Holidays
- The Opportunity to Build Something that Changes the Delivery Tech Industry for the Better!
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